LinkedIn recently published how LIquid, its graph database, automates the indexing and real-time access of all connections to members, schools, skills, companies, positions, jobs, events, etc.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

To overcome such inherent challenges with graph neural networks and improve recommendation abilities, LinkedIn has created a process it calls Performance-Adaptive Sampling Strategy (PASS). that ...

LinkedIn is positioned to become the first global economic graph with the ability to mine the transactions of an emerging data economy. That's the ...

In a new study, Amazon researchers propose a technique that improves the performance of knowledge graphs, which capture complex relationships.